CLINICAL DECISION SUPPORT

Mavatar Precision™

Mavatar’s aim is to bridge that gap and provide clinicians with a tool,
a AI platform that would allow to match patient with their digital representation treated with hundreds of drugs

MAVATAR PRECISION

Make medicine work the first time

Ineffective drug treatment remains one of healthcare's most persistent challenges. Physicians lack systematic tools to match patients with optimal medications, forcing a trial-and-error approach that prolongs suffering and wastes resources. Mavatar Precision bridges this critical gap. Our platform creates digital representations of patients at the molecular level, tests hundreds of treatments computationally, and delivers personalized medication recommendations directly to clinicians.

MAVATAR PRECISION

Every patient deserves the right treatment —not after cycles of failure.

By understanding the complex, heterogeneous cellular changes unique to each individual, we transform how treatments are selected—providing physicians with decision support backed by unprecedented biological insight.

Get in touch

Mavatar Precision:
Four Steps to Personalized Treatment

MAVATAR PRECISION

Step 1: Patient with Disease


Standard diagnosis identifies the condition, but each patient's disease manifests uniquely at the molecular level. 

Instead of trial-and-error treatment selection, we use simple blood tests to capture specific protein biomarkers. These biomarkers allow us to match patients to optimal treatments based on their individual disease profile, not just their diagnosis.

Precision Software Image
MAVATAR PRECISION

Step 2: Medical Avatar Construction


We create digital twins by analyzing gene activity across thousands of individual cells. 
This process maps exactly how the disease affects each cell type compared to healthy controls, revealing which genes are behaving abnormally. 

We identify both intercellular networks (how cells communicate with each other) and intracellular networks (gene interactions within cells), creating a comprehensive molecular blueprint of the patient's disease state.
MAVATAR PRECISION

Step 3: Treatment Simulation

Our platform virtually tests thousands of potential treatments against the patient's digital profile. We project known drug targets onto the patient's disease networks and measure how closely these targets align with disease-affected areas. Treatments that directly counteract the patient's specific gene dysregulation patterns score highest, with statistical validation ensuring recommendations are reliable. This process identifies both standard therapies and unexpected medication options that might work better for specific patient types.

Step 4: Treatment Selection
MAVATAR PRECISION

Step 2: Medical Avatar Construction

Physicians receive ranked treatment recommendations based on predicted effectiveness. Our research shows this approach successfully identifies proven therapies and promising candidates that might otherwise be overlooked.



 Result: The right treatment from day one—reducing suffering, minimizing side effects, and optimizing healthcare resources.

Mavatar Precision's timeline

Mavatar Precision has over 20 years of research behind it, but was started to be developed as a tool for clinicians in 2018.

Mavatar Precision is scheduled to release for in hospital use in 2026.

Go To Newsroom
Johan Juhlin_Davos

23/12/2024 | NEWS

Mavatar at the World Economic Forum in Davos

Mavatar Recognition_1

31/03/2025 | NEWS

Mavatar Recognized as One of Sweden’s Most Exciting AI Health Companies

Screenshot form Mavatar Discovery

27/03/2025 | NEWS

Revolutionizing Disease Research: Introducing Mavatar Discovery™️

Mavatar medicon village Juhlin presents

25/03/2025 | NEWS

Mavatar visits Medicon Village

Johan Juhlin image crossed arms

15/10/2024 | NEWS

Mavatar Secures SEK 40 Million in Partial Funding Round, Advancing its Leadership in AI-Driven Precision Medicine

No image
Image of Linda Wakeham

02/12/2024 | NEWS

Mavatar Strengthens Leadership Team with Linda Wakeham as Head of Marketing & Communication

No image